SGER: Advances in Difficult Aspects of Reference Resolution

SGER：参考分辨率困难方面的进展

• 批准号: 0840579
• 负责人: Marjorie McShane
• 金额: --
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0840579&HistoricalAwards=false
• 关键词: SGER; Advances; Difficult; Aspects; Reference

SGER: Advances in Difficult Aspects of Reference ResolutionThis exploratory project is investigating two difficult phenomena in the domain of reference resolution: (1) the resolution of plural pronouns that can corefer either with a single syntactic constituent or with a set of constituents from different places in the text: they, those two, all three, etc. and (2) the resolution of 3rd person singular and demonstrative pronouns that can corefer either with a single syntactic constituent or with a span of text: it, that, this, all of this, etc. These phenomena have been treated in limited ways to date because the methods that have been most widely deployed for reference resolution have expected the antecedent for referring expressions to be a single noun phrase in the preceding context. In the cases under study, the antecedent need not be constrained in this way. This work is aimed at achieving human-like intelligence to support, for example, sophisticated communication between intelligent agents and people. It is theoretically grounded but keeps practical concerns at the fore. The component algorithms can inform reference resolution in any domain by any system in the relatively near term, advancing known types of technology and not relying on any unexpected breakthroughs. Among the resources to be distributed to the community are system-independent reference resolution algorithms, a corpus of relevant examples and their semantic representations, a reference resolution engine, and a critical survey of accomplishments, outstanding issues, and paths for further development.

SGER：指称消解困难方面的进展这个探索性项目正在研究指称消解领域中的两个困难现象：（1）复数代词的消解，可以与单个句法成分或文本中不同位置的一组成分共同指代：他们、那两个、所有三个等。（2）第三人称单数和指示代词的消解，可以与单个句法成分共同指代。 句法成分或文本跨度：it、that、this、all of this 等等。迄今为止，这些现象的处理方式有限，因为最广泛部署的参考解析方法预计所指表达式的先行词是前面上下文中的单个名词短语。在所研究的案例中，先行词不必受到这种方式的限制。这项工作的目的是实现类人智能，以支持智能代理和人之间复杂的通信等。它有理论依据，但仍将实际问题放在首位。组件算法可以在相对近期内通过任何系统在任何领域提供参考分辨率，从而推进已知类型的技术，而不依赖于任何意外的突破。分发给社区的资源包括独立于系统的参考解析算法、相关示例及其语义表示的语料库、参考解析引擎以及对成就、突出问题和进一步发展路径的批判性调查。